Real-time detection and repair of cycle slips in triple-frequency GNSS measurements

Zhao, Qile; Sun, Binzi; Dai, Zhiqiang; Hu, Zhigang; Shi, Chuang; Liu, Jingnan

doi:10.1007/s10291-014-0396-2

Cited by 82 publications

(57 citation statements)

References 12 publications

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“…With the third or more frequencies, new approaches to estimate phase multipath from a singlestation become available (Simsky 2006). Due to the presence of new frequencies, the traditional approaches dealing with cycle slip problems are expanded to multi-frequency cases (e.g., Dai et al 2009;Lacy et al 2012;Zhao et al 2015;Zhang and Li 2015). As for carrier phase ambiguity resolution (AR), significant research effort has been invested towards GPS and Galileo AR in relative positioning using three or more frequencies, including the earliest studies by Forssell et al (1997) and Vollath et al (1998), which described the three carrier phase ambiguity resolution (TCAR) approach.…”

Section: Introductionmentioning

confidence: 99%

Modeling and assessment of triple-frequency BDS precise point positioning

Guo

Zhang

Wang

et al. 2016

J Geod

112

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The latest generation of GNSS satellites such as GPS BLOCK-IIF, Galileo and BDS are transmitting signals on three or more frequencies, thus having more choices in practice. At the same time, new challenges arise for integrating the new signals. This paper contributes to the modeling and assessment of triple-frequency PPP with BDS data. First, three triple-frequency PPP models are developed. The observation model and stochastic model are designed and extended to accommodate the third frequency. In particular, new biases such as differential code biases and inter-frequency biases as well as the parameterizations are addressed. Then, the relationships between different PPP models are discussed. To verify the triple-frequency PPP models, PPP tests with real triple-frequency data were performed in both static and kinematic scenarios. Results show that the three triple-frequency PPP models agree well with each other. Additional frequency has a marginal effect on the positioning accuracy in static PPP tests. However, the benefits of third frequency are significant in situations of where there is poor tracking and contaminated observations on frequencies B1 and B2 in kinematic PPP tests. B Xiaohong Zhang

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Section: Introductionmentioning

confidence: 99%

Modeling and assessment of triple-frequency BDS precise point positioning

Guo

Zhang

Wang

et al. 2016

J Geod

112

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“…For instance, Zhao et al (2015) reported a standard deviation of double time difference of the L GF at the level of 4 mm. Also, our method may be further improved when applying triple-frequency data to detect and repair cycle slips (Zhao et al 2015).…”

Section: Regional Ionosphere Modeling At Uwm In Olsztynmentioning

confidence: 99%

“…Also, our method may be further improved when applying triple-frequency data to detect and repair cycle slips (Zhao et al 2015). This is because repairing cycle slips allows for using longer data arcs for B k iGF estimation.…”

Section: Regional Ionosphere Modeling At Uwm In Olsztynmentioning

confidence: 99%

Carrier phase bias estimation of geometry-free linear combination of GNSS signals for ionospheric TEC modeling

Krypiak-Gregorczyk

Wielgosz

2018

GPS Solut

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The ionosphere can be modeled and studied using multi-frequency GNSS signals and their geometry-free linear combination. Therefore, a number of GNSS-derived ionospheric models have been developed and applied in a broad range of applications. However, due to the complexity of estimating the carrier phase ambiguities, most of these models are based on low-accuracy carrier phase smoothed pseudorange data. This, in turn, critically limits their accuracy and applicability. Therefore, we present a new methodology of estimating the phase bias of the scaled L1 and L2 carrier phase difference which is a function of the ambiguities, the ionospheric delay, and hardware delays. This methodology is suitable for ionospheric modeling at regional and continental scales. In addition, we present its evaluation under varying ionospheric conditions. The test results show that the carrier phase bias of geometry-free linear combination can be estimated with a very high accuracy, which consequently allows for calculating ionospheric TEC with the uncertainty lower than 1.0 TECU. This high accuracy makes the resulting ionosphere model suitable for improving GNSS positioning for high-precision applications in geosciences.

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“…This is not always the case, especially in the case of rapid ionospheric fluctuations. Recently, Zhao et al (2014) presented a real-time cycle slip detection and repair method based on independent linear combinations of undifferenced triple-frequency GNSS observations. Cycle slips on the extra-wide lane, wide lane and narrow lane combinations are determined sequentially in three cascaded steps.…”

Section: Introductionmentioning

confidence: 99%

Benefits of the third frequency signal on cycle slip correction

Zhang

2015

GPS Solut

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Cycle slip detection and correction are important issues when carrier phase observations are used in high-precision GNSS data processing and have, therefore, been intensively investigated. Along with the GNSS modernization, the cycle slip correction (CSC) problem has been raised to deal with more signals from multi-frequencies. We extend the geometry-based approach by integrating time-differenced pseudorange and carrier phase observations to estimate the integer number of triple-frequency cycle slips together with the receiver clock offset, ionospheric delay variations and receiver displacements. The Least-squares AMBiguity Decorrelation Adjustment method can be employed. The benefit of the third frequency observation on the cycle slip estimate is first investigated with simulation tests. The results show that adding the third frequency observation can significantly improve the model strength and that a reliable triple-frequency CSC with a theoretical success rate of higher than 99.9 % can still be achieved, even under the condition that the range or ionosphere delay variation is poorly defined. The performance of triple-frequency CSC is validated with real triple-frequency BDS data since all BDS satellites in orbit are transmitting triple-frequency signals. The results show that the fixing rate of CSC can reach 99.1 % in static precise point positioning (PPP) and 98.8 % in the kinematic case. PPP solutions with cycle slip-uncorrected and cycle slip-corrected data sets are compared to validate the correctness of triple-frequency CSC. The standard deviations of the PPP solution in east, north and vertical component, respectively, can be improved by 31.1, 30.7 and 37.6 % for static, and by 42.0, 53.8 and 39.7 % for kinematic after cycle slips are corrected. The performance of dual-and triple-frequency CSC is also compared. Results show that the performance of dual-frequency CSC is slightly worse than that of triple-frequency CSC. These results demonstrate that the performance of CSC can be significantly improved with triple-frequency observations.

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Real-time detection and repair of cycle slips in triple-frequency GNSS measurements

Cited by 82 publications

References 12 publications

Modeling and assessment of triple-frequency BDS precise point positioning

Modeling and assessment of triple-frequency BDS precise point positioning

Carrier phase bias estimation of geometry-free linear combination of GNSS signals for ionospheric TEC modeling

Benefits of the third frequency signal on cycle slip correction

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